VS Code VS Select Star SQL

• Cross-platform
  VS Code works on Windows, macOS, and Linux, providing a consistent development experience across different operating systems.
• Extensibility
  A vast library of extensions allows users to add functionalities like debuggers, linters, and themes, making it highly customizable.
• Integrated Git
  Built-in Git integration makes it easy to manage version control tasks directly within the editor.
• Performance
  Lightweight compared to full-fledged IDEs, ensuring good performance even on systems with limited resources.
• IntelliSense
  Advanced code completion and refactoring tools help improve coding efficiency and reduce errors.
• Community Support
  A strong and active community provides extensive support, tutorials, and third-party extensions.
• Debugging
  Robust debugging tools for various languages and frameworks are available out of the box.
• Free and Open-Source
  VS Code is completely free to use and open-source, which is beneficial for both individual developers and organizations.

Possible disadvantages

• Limited IDE Features
  While extensible, it may lack some advanced features found in dedicated IDEs out of the box.
• Extension Management
  Managing and configuring a large number of extensions can become cumbersome and sometimes lead to performance issues.
• Learning Curve
  Although user-friendly, it has a steeper learning curve for beginners due to its numerous features and customization options.
• Memory Usage
  Despite being lightweight, it can consume a significant amount of memory when multiple extensions are installed.
• Update Frequency
  Frequent updates may sometimes introduce bugs or require users to adapt to new changes quickly.
• Internet Dependency
  Some features and extensions may require an internet connection to function optimally.
• Telemetry
  By default, VS Code collects usage data, which might be a concern for users sensitive about data privacy. However, this can be disabled.

• Completely Free
  Select Star SQL is entirely free to use with no paywalls, subscriptions, or hidden costs. This makes it accessible to anyone who wants to learn SQL regardless of their financial situation.
• Interactive Hands-On Learning
  The platform provides an interactive SQL environment directly in the browser where learners can write and execute real SQL queries against actual datasets, reinforcing concepts through practice rather than passive reading.
• Real-World Dataset
  The course uses a compelling real-world dataset about Texas death row executions, which makes the learning experience more engaging and meaningful compared to abstract or contrived examples.
• Well-Structured Progressive Curriculum
  The course is organized in a logical progression from basic SELECT statements to more advanced concepts like aggregations, joins, and subqueries, allowing learners to build knowledge incrementally without feeling overwhelmed.
• No Setup Required
  There is no need to install any software, set up a database, or configure an environment. Learners can start writing SQL queries immediately in their web browser, removing a significant barrier to entry for beginners.

Possible disadvantages

• Limited Scope
  The course covers only fundamental SQL concepts and does not address more advanced topics like window functions, CTEs, indexing, database design, or performance optimization, which are essential for professional SQL usage.
• Single Database Dialect
  The platform teaches SQL using SQLite, and does not cover syntax differences or features specific to other popular database systems like PostgreSQL, MySQL, SQL Server, or Oracle, which learners may encounter in real jobs.
• No Certificate or Credential
  Completing the course does not provide any formal certificate, badge, or credential that learners could use to demonstrate their SQL skills to potential employers or on professional profiles.
• Limited Practice Exercises
  While the course includes some exercises, the total number of practice problems is relatively small compared to dedicated SQL practice platforms, which may not be sufficient for learners who need extensive repetition to solidify their skills.
• Single Dataset Can Feel Restrictive
  Using only one dataset throughout the entire course means learners do not get experience working with diverse data schemas, table relationships, or different types of data, which limits exposure to varied real-world scenarios.

My New Favorite Text Editor - Visual Studio Code

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Tracking Select Star SQL since May 2026.